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\lhead{Project 2}
\rhead{Andrew O'Neill -- \today}
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\title{Visualization of Distance, Density, and Spatial
Interpolations}
\author{Andrew O'Neill}

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\maketitle

\section{Any changes occurred for the model in the model builder?
What does this mean?}

The model started out white, meaning it was incomplete. Now it is
colored and complete. Also, the `Input' ellipse changed to
Buffalo\_Hospitals, `Output Allocation Raster' changed to
`HospAllocation', `Output Distance Raster' changed to
`HospDistance', and `Output Direction Raster' changed to
`HospDirection'.

\section{Does the Euclidean distance function determine distance
values using the same unit of measurement as the map units? In
this map, which unit of measurement does the distance values
use?}

Yes, the euclidean distance function uses the same distance units
as the map units. The distance values are in meters.

\section{What is the farthest distance of a company location
(assumed location on the entire map) to a closest hospital in the
City of Buffalo?}

The farthest distance to the closest hospital is 27.85 kilometers
in the city of Buffalo.

\section{What does the `value' of cells on Allocation to
Hospitals mean?}

The value corresponds to the zip of the closest hospital.

\section{What does the `value' of cells on Direction to Hospitals
mean?}

The value corresponds to the direction of the nearest hospital in
degrees. $0^\circ$ being North, $90^\circ$ East, $180^\circ$
South, and $270^\circ$ West. 

\section{Inspecting the KernelArson9000 map, which area on this
map has the highest arson crime? (Northeast, Northwest,Southeast,
Southwest, West, East, North, and South)}

The east and west sides of the central area of Buffalo have the
most arsons. The east side has a higher density than the west
side.

\section{Comparing KernelArson3000 to KernelArson9000 maps, did
you find the changes or differences of spatial distribution
patterns? Explain why or why not (What is the reason of this?)}

Comparing the 3000 and 9000 maps, the 9000 is more brightly
colored in a larger area. This is because the search area is much
wider. This also meant the areas have a lower density on the 9000
map.

\section{Reviewing the KernelAss3000 map, which area on this map
has the highest assault crime? (Northeast, Northwest, Southeast,
Southwest, West, East, North, and South).}

The West, East, and Northwest have the highest density of
assaults in the City of Buffalo.

\section{Comparing the kernel burglary distribution of 3000 and
9000, what kind of factors of distribution changed? What did not
change?}

In the 3000 map we see two areas of high burglary on the west
side. This changes to one larger location between the two on the
west side in the 9000 map. This change happens because the search
area is too large and the smaller areas are averaged in to a
larger central one. The areas of low density did not change
significantly between the maps.

\section{How many records in Crime\_DrugUseSale dataset? How many
records in Crime\_Rubbery dataset?}

In the Crime\_DrugUseSale dataset there are 513 entries. In the
Crime\_Rubbery dataset there are 1644 entries.

\section{In the table of Content in ArcMap, if you would like to
see the tables that you added, which tab (icon on the title bar
of Table of Content) should you click on (activated)?}

The icon that you click is `List By Source'. This will show all
the data layers loaded into arcmap categorized by their source
database or folder.

\section{What kind of format or description (the type) this
geocoding locator file use? Explain briefly what the description
format (the type) looks like.}

The address locator style is `US Address -- Dual Ranges'. This
format has a left and right upper and lower address range, left
and right city, Street name, left and right city, state, and zip,
and some other options.

\section{Do you think the Address field comes from
Crime\_Drug\_UseSale table or from Buffalo\_Streets feature class
(map layer)? Why should we use Address field, but not any other
field in the drop down list?}

The address we are trying to geocode is in the
Crime\_Drug\_UseSale table it is being searched for in the
Buffalo\_Streets feature class. The address field is referring to
the address from the Crime\_Drug\_UseSale table. We only use the
address field because that is the only field available in the
Crime\_Drug\_UseSale table.

\section{How much percent of the total records in the table is
geocoded after the first run?}

After the first run, 55\% of the addresses were matched, 14\%
tied (and were also matched) and 43\% of the addresses were
unmatched.

\section{How many records still need to be matched after
auto-rematch?}

After the auto-rematch 56 records are still unmatched.

\section{How many total number of records did you geocode in the
Drug Use and Sale table?}

I matched 496 of 513 records in the Drug Use and Sale table.

\section{Which field or column is the elevation field? Does the
field have decimal numbers? If it does, how many decimal places?}

The elevation field is in the third column. The elevation data
has 2 decimal places of precision.

\section{Which column is the LiDAR reflection intensity (Hint: go
back to the original ASCII table to inspect)?}

The reflection intensity is in the fourth column of the data
file. 

\section{Do any of these two grid raster layers have a value
attribute table with it? Elaborate briefly why have or they do
not have.}

The two tables I created do not have an attribute table. This is
because the attribute table is only available for integer values
and we have decimal values for our elevation.

\section{What are the minimum and maximum values of these contour
lines on this map frame?}

The lowest contour is at 580 the highest contour is at 690 for
the Con\_10901040fr map.

\section{Do you think the FR or first return represents the
highest level, or lowest level, or middle level of the surface of
geographic features on the ground?}

It is probably good for a middle level of detail on the surface
features. There probably should be more scans to increase the
accuracy of the data.

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